UNICEF East Asia and Pacific Regional Office

Zoonotic diseases pose an increasing threat to human, animal and environmental health, and identifying the zoonoses of greatest public health concern is key to address them effectively. Despite high ongoing risks from zoonotic diseases, Bhutan has never conducted a zoonotic disease prioritization exercise. Therefore, the present study aimed to prioritize the top 10 zoonotic diseases in Bhutan and develop action plans to support targeted resource allocation, coordinated surveillance, and strategic planning through the One Health framework. The current study used a literature review of peer-reviewed publications and grey literature, expert knowledge, followed by a workshop to prioritize zoonoses in Bhutan. The workshop was convened in April 2024, and 42 participants from 20 different organizations from human, animal, wildlife, environmental, and food safety sectors participated in the workshop. Zoonotic disease prioritization was conducted using a mixed-method approach that combined an expert consensus approach with the U.S. Centers for Disease Control and Prevention One Health Zoonotic Disease Prioritization (OHZDP) tool. The initial literature review listed 55 zoonotic diseases for prioritization in the country. The workshop prioritized the top 10 zoonotic diseases viz., Rabies; Influenza A H5N1; Leptospirosis; Brucellosis; Escherichia coli infections; Dengue; Scrub Typhus; Bovine tuberculosis; Anthrax; and Salmonellosis. Joint action areas for the top five zoonotic diseases were developed to effectively address each disease through the One Health approach in the country. The prioritized zoonoses in Bhutan should be used for strengthening One Health coordination. Key recommendations from the OHZDP workshop emphasized strengthening disease surveillance, building laboratory diagnostic capacity, enhancing intersectoral collaboration, and developing a harmonized, interoperable system for information sharing and reporting. These measures aim to improve real-time data exchange, facilitate joint outbreak investigations, and support evidence-based decision-making for the prevention and control of zoonotic diseases.

Seasonal fires in northern Thailand are a persistent environmental and public health concern, yet existing fire probability mapping approaches in Thailand rely heavily on subjective multi-criteria analysis (MCA) methods and temporally static data aggregation methods. To address these limitations, we present a flexible, replicable, and operationally viable seasonal fire probability mapping methodology using a Random Forest (RF) machine learning model in the Google Earth Engine (GEE) platform. We trained the model on historical fire occurrence and fire predictor layers from 2016–2023 and applied it to 2024 conditions to generate a probabilistic fire prediction. Our novel approach improves upon existing operational methods and scientific literature in several ways. It uses a more representative sample design which is agnostic to the burn history of fire presences and absences, pairs fire and fire predictor data from each year to account for interannual variation in conditions, empirically refines the most influential fire predictors from a comprehensive set of predictors, and provides a reproducible and accessible framework using GEE. Predictor variables include both socioeconomic and environmental drivers of fire, such as topography, fuels, potential fire behavior, forest type, vegetation characteristics, climate, water availability, crop type, recent burn history, and human influence and accessibility. The model achieves an Area Under the Curve (AUC) of 0.841 when applied to 2016–2023 data and 0.848 when applied to 2024 data, indicating strong discriminatory power despite the additional spatial and temporal variability introduced by our sample design. The highest fire probabilities emerge in forested and agricultural areas at mid elevations and near human settlements and roads, which aligns well with the known anthropogenic drivers of fire in Thailand. Distinct areas of model uncertainty are also apparent in cropland and forests which are only burned intermittently, highlighting the importance of accounting for localized burning cycles. Variable importance analysis using the Gini Impurity Index identifies both natural and anthropogenic predictors as key and nearly equally important predictors of fire, including certain forest and crop types, vegetation characteristics, topography, climate, human influence and accessibility, water availability, and recent burn history. Our findings demonstrate the heavy influence of data preprocessing and model design choices on model results. The model outputs are provided as interpretable probability maps and the methods can be adapted to future years or augmented with local datasets. Our methodology presents a scalable advancement in wildfire probability mapping with machine learning and open-source tools, particularly for data-constrained landscapes. It will support Thailand’s fire managers in proactive fire response and planning and also inform broader regional fire risk assessment efforts.

Parental interaction in learning-promoting activities is crucial for supporting early childhood development. This study aimed to assess the level of parental interaction among children aged 2-4 years in Thailand and to identify determinants associated with parental interaction. A cross-sectional analysis was conducted using data from the 2022 Multiple Indicator Cluster Survey (MICS), which included a nationally representative sample of 7003 parents of children aged 2-4 years. Parental interaction was assessed through six activities promoting early stimulation and responsive care. Interaction levels were categorized as high (participation in four or more activities) or low (fewer than four activities). Multivariable logistic regression was employed to analyze associations between parental interaction levels and household and participant characteristics. The study found that 88.1% of parents reported high levels of interaction with their children. Children outside Bangkok had lower odds of high interaction, particularly in the Central (AOR=0.33), North (AOR=0.31), Northeast (AOR=0.44), and South (AOR=0.38) regions. Higher odds of high interaction were associated with maternal education above secondary level (AOR=2.00), the highest wealth quintile (AOR=2.48), living with either (AOR=2.14) or both parents (AOR=2.59), being in a non-Thai-speaking household (AOR=1.75), and having three or more books at home (AOR=3.63). Nearly 12% of parents reported low levels of interaction with their children aged 2-4 years, with disparities associated with regional and socioeconomic factors. Policy efforts should prioritize integrating parental support into early childhood education programs and enhancing access to resources, such as children's books and community libraries, particularly for socioeconomically disadvantaged groups.

Abstract Women and men interact with the environment differently. Although data on the gender and environment nexus is only recently starting to become more widely available, existing evidence shows that, in many countries, women and men’s livelihoods, roles at home, and decision-making actions are widely different, and thus so are their contributions to environmental conservation and degradation. Simiarly, climate change, pollution and biodiversity loss affect women and men in different ways, but the limited availability of related data still prevents a full understanding of the multiplicity of ways in which these differences manifest. In recent years, numerous methodological advancements have taken place, which are enabling the production of gender and environment statistics to better understand these connections. From dedicated surveys to uses of non-conventional data sources, empirical evidence on this topic is increasingly available. Still, substantial efforts are needed to fill existing data gaps and gain a thorough understanding of the connections. This paper showcases available evidence on various aspects of the gender-environment nexus, and highlights possible solutions to fill remaining data gaps.

ABSTRACT Visual research methods are increasingly utilised in educational research and scholars have used them to develop accounts of sexuality in schooling contexts. This article advances this work with an analysis of secondary students’ drawings of their experiences with sexuality education. We performed a thematic analysis on 150 drawings created during participatory focus group discussions (FGDs) among students in 30 Thai general secondary and vocational schools. We present summaries of six key themes identified in the visual data (‘emphasis on puberty, anatomy, and reproduction’; ‘emphasis on preventing pregnancy and infection’; ‘emphasis on the negative consequences of sex’; ‘hidden curriculum of heteronormativity’; ‘absence of complexities in the images’; and ‘a traditional classroom environment’). Conducted as a part of a multi-method study that also included teacher and student surveys, the analysis of students’ drawings highlighted the nature of Thai sexuality education from a complementary vantage point. While our previously reported survey findings indicated relatively comprehensive topic coverage, our interpretation of the student drawings suggests that pregnancy prevention may be emphasised over other topic areas. Our analysis of the drawings also supported earlier survey findings pointing at a lecture-heavy approach to teaching and learning rather than more learner-centred pedagogy.

Antimicrobial resistance (AMR) is a global health concern with significant implications on economies and health security, affecting humans, animals, food, and the environment. To tackle this issue, promoting responsible antimicrobial use in livestock production has emerged as a crucial intervention. In 2018, Thailand introduced the Voluntary Optimization of Antimicrobial Consumption (VOAC) programme, with the objective to encourage responsible antimicrobial use practises. This study aimed to analyse the context, content, process and actors of the VOAC programme. A qualitative method including document reviews and key informant interviews were applied. In-depth interviews were conducted with 18 key informants who are key stakeholders from public and private sectors involved in the policy formulation, design of policy contents and implementation of VOAC: policy makers or officers responsible for animal health (n = 12), animal producers (n = 2), animal product traders or retailers (n = 2), and farm veterinarians (n = 2). Interview transcripts were validated by informants for accuracy, and triangulated with document review findings. Deductive approach was applied for data analysis and interpretation based on Walt and Gilson's policy analysis framework. The VOAC farm certification comprises of Raised Without Antibiotics (RWA) and Reducing Antibiotic Use (RAU), both aiming to combat AMR in food animals. Global and national factors, including increased public awareness, policy commitments, export requirements from the European Union, and international organisation advocacies, influenced the development of the programme led by the Department of Livestock Development (DLD), under the Ministry of Agriculture and Cooperatives. Collaboration with the private sector facilitated policy clarity, with implementation primarily executed through regional, provincial, and district livestock officers. Integration of the programme with the pre-existing Good Agriculture Practise certification system enabled cost-effective implementation without additional resources. In 2022, DLD official data reported 214 RWA farms (112 pig and 102 broiler), and 230 RAU farms (83 pig and 147 broiler). Incentives for farms to participate in the programme include improving corporate image and demonstrating corporate responsibility addressing AMR in food products. Recommendations include optimising certification strategies, increasing consumer awareness of RWA and RAU products and strengthening monitoring and evaluation systems.

Pests and diseases have been reported by Myanmar foresters and plantation owners as significant challenges to the quality and quantity of wood supply from natural and planted forests. As part of a FAO project on strengthening local capacity in forest health, questionnaire surveys on pests and diseases and a needs assessment were conducted among companies/organizations involved in growing forests. Thirteen and 12 participants responded to the two surveys, respectively. Respondents grew 10 different tree species, namely Tectona grandis, Acacia mangium, Acacia hybrid, Eucalyptus spp., Gmelina arborea, Swietenia macrophylla, Paulownia kawakamii, Xylia xylocarpa, Bruguiera sexangula and Rhizophora apiculata. Growers recognized pests of teak but were less familiar with pests of the other tree species. Diseases were only reported from teak and A. mangium. Weeds were reported only from mature plantations. Workers were mostly educated only up to primary school level. None were trained in pest and disease management and most did not know about invasive alien species (IAS) and integrated pest and disease management (IPM). Based on the needs identified from the surveys, three workshops were conducted for over 100 local participants.

The agriculture and food (agrifood) sectors play key roles in the emergence, spread, and containment of antimicrobial resistance (AMR). Pakistan’s first National Action Plan (NAP) on AMR was developed to guide One Health interventions to combat AMR through 2017–2022. To improve subsequent iterations, we assessed the implementation of Pakistan’s NAP in the agrifood sectors (NAPag) in October 2022, using the Progressive Management Pathway on AMR tool developed by the Food and Agriculture Organization of the United Nations (FAO). The assessment tool addressed four crucial focus areas of the NAPag: governance, awareness, evidence, and practices. Each focus area contains multiple topics, which involve four sequential stages of activities to progressively achieve systematic management of AMR risk in the agrifood sectors. High-level representatives of the NAPag stakeholders provided information for the assessment through pre-event documentary review and workshop discussions. The assessment results showed that Pakistan’s NAPag had an overall moderate coverage (59%) of the anticipated activities. Gaps were particularly notable in strengthening governance, good practices, and interventions in non-livestock sectors. Furthermore, only 12% of the evaluated activities were fully executed and documented, consistently remaining at the planning and piloting stages in the livestock sector across all the examined topics. Insufficient attention to non-livestock sectors, inadequate regulation and enforcement capacity, and resource constraints have hindered scalable and sustainable interventions under the current plan. This assessment provides valuable insights to strengthen the inclusiveness and contribution of the agrifood sectors in the next NAP iteration. In the short-to-medium term, strategic prioritization is necessary to optimize the use of limited resources and target the most critical gaps, such as improving awareness among key stakeholders and fortifying regulations for prudent antimicrobial use. In the long term, integration of AMR into the country’s broader health, development, and agricultural transformation agendas will be needed to generate sustainable benefits.